In collaboration with the researchers and designers at the MIT Teaching Systems Lab directed by Prof. Justin Reich, we are designing and building a suite of AI tools that would enable any teacher educator using practice spaces to support their learners using AI pedagogical agents designed for specific purposes. These tools also provide teacher educators with pedagogical domain knowledge but no programming skills, with the ability to conduct AI research.
Teacher Moments is an open source research platform actively used by more than one research community. Thus, the impact of this work goes beyond the direct work of transforming teacher education by also transforming learning in a variety of contexts in social work, nursing education, law enforcement and medical education.
This project is being supported by an award from the 2022-2023 Tools Competition. With a focus on learning engineering, the Tools Competition was created to accelerate learning outcomes for all learners and boost collaboration between technologists, researchers, and educators. Sitting at the intersection of computer science and learning science, learning engineering is a partnership between technologists, researchers, and educators to use big data in order to: better understand the learning process, develop more effective interventions, and drive evidence-based product innovation—with the ultimate goal of improving learner outcomes.